Machine learning for analysis of real nuclear plant data in the frequency domain

Kollias, StefanosNational Technical University of Athens (NTUA),University of Lincoln (author)

Machine Learning is used in this paper for noise-diagnostics to detect defined anomalies in nuclear plant reactor cores solely from neutron detector measurements. The proposed approach leverages advanced diffusion-based core simulation tools to generate large amounts of simulated data with different types of driving perturbations originating at all theoretically possible locations in the core. Specifically the CORE SIM+ modelling framework is employed, which generates these data in the frequency domain. We train using these vast quantities of simulated data state-of-the-art machine and deep learning models which are used to successfully perform semantic segmentation, classification and localisation of multiple simultaneously occurring in-core perturbations. Actual plant data are then considered, provided by two different reactors, including no labels about perturbation existence. A domain adaptation methodology is subsequently developed to extend the simulated setting to real plant measurements, which uses self-supervised, or unsupervised learning, to align the simulated data with the actual plant data and detect perturbations, whilst classifying their type and estimating their location. Experimental studies illustrate the successful performance of the developed approach and extensions are described that indicate a great potential for further research.

Yu, MiaoUniversity of Lincoln (author)
Wingate, J.University of Lincoln (author)
Durrant, A.University of Aberdeen (author)
Leontidis, GeorgiosUniversity of Aberdeen (author)
Alexandridis, GeorgiosNational Technical University of Athens (NTUA) (author)
Stafylopatis, AndreasNational Technical University of Athens (NTUA) (author)
Mylonakis, Antonios,1987Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)antmyl (author)
Vinai, Paolo,1975Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)vinai (author)
Demaziere, Christophe,1973Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)demaz (author)
National Technical University of Athens (NTUA)University of Lincoln (creator_code:org_t)

By the author/editor: Kollias, Stefano ...; Yu, Miao; Wingate, J.; Durrant, A.; Leontidis, Georg ...; Alexandridis, Ge ...; show more...; Stafylopatis, An ...; Mylonakis, Anton ...; Vinai, Paolo, 19 ...; Demaziere, Chris ...; show less...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Other Computer a ...

NATURAL SCIENCES: NATURAL SCIENCES; and Physical Science ...; and Other Physics To ...

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